{"id":"W2089549980","doi":"10.1145/2371574.2371625","title":"Clicking blindly","year":2012,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Depiction; Visualization; Computer vision; Artificial intelligence; Position (finance); Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007912686,0.000038815,0.00003528711,0.00003234309,0.00004042216,0.0000318297,0.0002295505,0.00001369441,0.0001210768],"category_scores_gemma":[0.00001114862,0.00003082238,0.00002952033,0.00008590759,0.000005886519,0.0009387853,0.00008774734,0.00004287015,0.001036374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001053458,"about_ca_system_score_gemma":0.00000600474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009189695,"about_ca_topic_score_gemma":4.178725e-7,"domain_scores_codex":[0.9996126,0.00001224006,0.00004914221,0.00007322458,0.00006617452,0.0001865709],"domain_scores_gemma":[0.9997317,0.00002644826,0.00001602828,0.0001493646,0.00002972221,0.00004669166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002062058,0.00008490128,0.02041867,0.000001880425,0.00001399327,0.000001578955,0.00130441,8.234025e-7,0.04107692,0.9178065,0.01349465,0.00579363],"study_design_scores_gemma":[0.0004086719,0.00009108352,0.3561352,0.00001395237,0.000006904885,0.00004464431,0.0004342914,0.004022941,0.4264748,0.001300496,0.2106018,0.000465237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02841343,0.00004438506,0.695838,0.0002924434,0.000630394,0.00002844787,1.243397e-7,0.00002115881,0.2747316],"genre_scores_gemma":[0.9928042,0.000001063662,0.004191079,0.001678466,0.00009343976,0.000001496347,3.186087e-7,0.000001838306,0.001228043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9643908,"threshold_uncertainty_score":0.9997414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903036542484373,"score_gpt":0.2736563908970172,"score_spread":0.2546260254721734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}